Kognition is an NVIDIA Metropolis partner. Our AI video analytics run GPU-accelerated on NVIDIA hardware—from edge appliances to data-center servers—turning the cameras you already own into real-time intelligent sensors.
Integration
Kognition's deep learning models are engineered to run GPU-accelerated on NVIDIA platforms—wherever your compute lives.
Kognition joined NVIDIA Metropolis, NVIDIA's program for AI vision applications that make the world's most important spaces safer and more efficient.
Kognition's neural networks run GPU-accelerated on NVIDIA hardware, analyzing live video from your existing cameras in real time.
Deploy the same Kognition software on NVIDIA-powered edge appliances or GPU servers in your data center—compute sized to your camera estate.
How it works
Kognition connects to your existing cameras and VMS; streams are routed to NVIDIA GPU compute at the edge or in your data center.
Deep learning models run GPU-accelerated to detect people, vehicles, watchlist matches, and threats in real time.
Alerts flow to your team and integrated security systems the moment something needs attention.
Why NVIDIA + Kognition
GPU acceleration keeps detection real-time as camera counts grow—start with one building and scale to enterprise-wide deployments with thousands of doors, cameras, and sensors.
Kognition joined NVIDIA Metropolis and announced plans to integrate NVIDIA's DeepStream SDK and Transfer Learning Toolkit with its patented AI platform.
Works with the cameras and VMS you already own—NVIDIA GPU compute is added where you need it.
The same NVIDIA-accelerated software runs at the edge, on-prem, or in the data center—one platform to operate and audit.
Use cases
Where GPU-accelerated AI makes the difference
Run real-time analytics across offices and corporate parks from centralized GPU servers in the data center.
High-traffic spaces get GPU-backed detection to enhance safety, security, and customer experience.
Edge-to-cloud NVIDIA deployments help make urban centers safer, smarter, and more secure.
